Zheqing Zhu - RankMe

34 papers A* 5A 4Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FreqConvMamba: Frequency-guided hierarchical hybrid SSM-CNN for medical image segmentation. Medical Image Anal. Yantao Song, Weixiang Dou, Yuhua Qian, Jieru Jia, Zheqing Zhu
2025	A*	`conf`	Aligned Multi Objective Optimization. ICML Yonathan Efroni, Ben Kretzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich
2025	J	`jnl`	Aligned Multi Objective Optimization. CoRR Yonathan Efroni, Ben Kertzu, Daniel Jiang, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich
2025	J	`jnl`	An Empirical Study of Deep Reinforcement Learning in Continuing Tasks. CoRR Yi Wan, Dmytro Korenkevych, Zheqing Zhu
2025	J	`jnl`	ExpDrug: An explainable drug recommendation model based on space feature mapping. Neurocomputing Xuan Lu, Yanhong Hao, Furong Peng, Zheqing Zhu, Zhanwen Cheng
2025	A*	`conf`	Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. ICLR Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel Jiang, Yonathan Efroni
2025	J	`jnl`	Improving Generative Ad Text on Facebook using Reinforcement Learning. CoRR Daniel R. Jiang, Alex Nikulkov, Yu-Chia Chen, Yang Bai, Zheqing Zhu
2025	J	`jnl`	Interpretable Multimodal Learning for Tumor Protein-Metal Binding: Progress, Challenges, and Perspectives. CoRR Xiaokun Liu, Sayedmohammadreza Rastegari, Yijun Huang, Sxe Chang Cheong, Weikang Liu, Wenjie Zhao, Qihao Tian, Hongming Wang, Shuo Zhou, Yingjie Guo, Sina Tabakhi, Xianyuan Liu, Zheqing Zhu, Wei Sang, Haiping Lu
2025	J	`jnl`	Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. IEEE Trans. Netw. Serv. Manag. Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Tian Lan, Zheqing Zhu, Chi Zhou, Pol Mauri Ruiz, Neeraj Kumar, Hongbo Dong, Vaneet Aggarwal
2025	J	`jnl`	PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold. CoRR Yi Wan, Jiuqi Wang, Liam Li, Jinsong Liu, Ruihao Zhu, Zheqing Zhu
2024	J	`jnl`	Correction to: Learning to bid and rank together in recommendation systems. Mach. Learn. Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu
2024	J	`jnl`	Epinet for Content Cold Start. CoRR Hong Jun Jeon, Songbin Liu, Yuantong Li, Jie Lyu, Hunter Song, Ji Liu, Peng Wu, Zheqing Zhu
2024	J	`jnl`	Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. CoRR Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel R. Jiang, Yonathan Efroni
2024	A*	`conf`	IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. ICRA Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
2024	J	`jnl`	Learning to bid and rank together in recommendation systems. Mach. Learn. Geng Ji, Wentao Jiang, Jiang Li, Fahmid Morshed Fahid, Zhengxing Chen, Yinghua Li, Jun Xiao, Chongxi Bao, Zheqing Zhu
2024	A*	`conf`	Neural Collapse To Multiple Centers For Imbalanced Data. NeurIPS HongRen Yan, Yuhua Qian, Furong Peng, Jiachen Luo, Zheqing Zhu, Feijiang Li
2024	A*	`conf`	Offline Reinforcement Learning for Optimizing Production Bidding Policies. KDD Dmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu
2024	J	`jnl`	Pearl: A Production-Ready Reinforcement Learning Agent. J. Mach. Learn. Res. Zheqing Zhu, Rodrigo de Salvo Braz, Jalaj Bhandari, Daniel Jiang, Yi Wan, Yonathan Efroni, Liyuan Wang, Ruiyang Xu, Hongbo Guo, Alex Nikulkov, Dmytro Korenkevych, Ürün Dogan, Frank Cheng, Zheng Wu, Wanqiao Xu
2024	J	`jnl`	Uncertainty of Joint Neural Contextual Bandit. CoRR Hongbo Guo, Zheqing Zhu
2023	A	`conf`	Deep Exploration for Recommendation Systems. RecSys Zheqing Zhu, Benjamin Van Roy
2023	J	`jnl`	IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. CoRR Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau
2023	J	`jnl`	Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling. CoRR Zheqing Zhu, Yueyang Liu, Xu Kuang, Benjamin Van Roy
2023	J	`jnl`	Offline Reinforcement Learning for Optimizing Production Bidding Policies. CoRR Dmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu
2023	J	`jnl`	Optimism Based Exploration in Large-Scale Recommender Systems. CoRR Hongbo Guo, Ruben Naeff, Alex Nikulkov, Zheqing Zhu
2023	A	`conf`	Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning. RecSys Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych, Fan Liu, Yuchen He, Alex Nikulkov, Zheqing Zhu
2023	J	`jnl`	Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning. CoRR Ruiyang Xu, Jalaj Bhandari, Dmytro Korenkevych, Fan Liu, Yuchen He, Alex Nikulkov, Zheqing Zhu
2023	J	`jnl`	Pearl: A Production-ready Reinforcement Learning Agent. CoRR Zheqing Zhu, Rodrigo de Salvo Braz, Jalaj Bhandari, Daniel Jiang, Yi Wan, Yonathan Efroni, Liyuan Wang, Ruiyang Xu, Hongbo Guo, Alex Nikulkov, Dmytro Korenkevych, Ürün Dogan, Frank Cheng, Zheng Wu, Wanqiao Xu
2023	A	`conf`	Scalable Neural Contextual Bandit for Recommender Systems. CIKM Zheqing Zhu, Benjamin Van Roy
2023	J	`jnl`	Scalable Neural Contextual Bandit for Recommender Systems. CoRR Zheqing Zhu, Benjamin Van Roy
2023	J	`jnl`	Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong
2021	J	`jnl`	Deep Exploration for Recommendation Systems. CoRR Zheqing Zhu, Benjamin Van Roy
2020	A	`conf`	Multi-Agent Safe Planning with Gaussian Processes. IROS Zheqing Zhu, Erdem Biyik, Dorsa Sadigh
2020	J	`jnl`	Multi-Agent Safe Planning with Gaussian Processes. CoRR Zheqing Zhu, Erdem Biyik, Dorsa Sadigh
2017	J	`jnl`	A Modified Levy Jump-Diffusion Model Based on Market Sentiment Memory for Online Jump Prediction. CoRR Zheqing Zhu, Jian-Guo Liu, Lei Li